{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset tutorial\n",
    "\n",
    "This notebook walks you through loading the datasets from The Well, processing the data and using a dataset to train a simple neural network."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install the_well[benchmark]\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import torch\n",
    "from einops import rearrange\n",
    "from neuralop.models import FNO\n",
    "from tqdm import tqdm\n",
    "\n",
    "from the_well.benchmark.metrics import VRMSE\n",
    "from the_well.data import WellDataset\n",
    "from the_well.utils.download import well_download\n",
    "\n",
    "device = \"cuda\"\n",
    "base_path = \"./datasets\"  # path/to/storage"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download data\n",
    "\n",
    "First let's download the data relevant for this tutorial. In this notebook, we use `turbulent_radiative_layer_2D` as it is the smallest dataset in The Well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading turbulent_radiative_layer_2D/train to /mnt/home/frozet/the_well/docs/tutorials/datasets/turbulent_radiative_layer_2D/data/train\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "** Resuming transfer from byte position 635467072\n",
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100   197  100   197    0     0  10944      0 --:--:-- --:--:-- --:--:-- 10944\n",
      "100   197  100   197    0     0  49250      0 --:--:-- --:--:-- --:--:-- 49250\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n",
      "100   197  100   197    0     0  65666      0 --:--:-- --:--:-- --:--:-- 65666\n"
     ]
    }
   ],
   "source": [
    "well_download(base_path=base_path, dataset=\"turbulent_radiative_layer_2D\", split=\"train\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading turbulent_radiative_layer_2D/valid to /mnt/home/frozet/the_well/docs/tutorials/datasets/turbulent_radiative_layer_2D/data/valid\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "** Resuming transfer from byte position 79459648\n",
      "  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n",
      "                                 Dload  Upload   Total   Spent    Left  Speed\n",
      "100   197  100   197    0     0  16416      0 --:--:-- --:--:-- --:--:-- 16416\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n",
      "100   197  100   197    0     0   192k      0 --:--:-- --:--:-- --:--:--  192k\n"
     ]
    }
   ],
   "source": [
    "well_download(base_path=base_path, dataset=\"turbulent_radiative_layer_2D\", split=\"valid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset object\n",
    "\n",
    "To load a dataset from The Well, the easiest way is to use the `WellDataset` class."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset = WellDataset(\n",
    "    well_base_path=base_path,\n",
    "    well_dataset_name=\"turbulent_radiative_layer_2D\",\n",
    "    well_split_name=\"train\",\n",
    "    n_steps_input=4,\n",
    "    n_steps_output=1,\n",
    "    use_normalization=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The dataset object is an instance of a PyTorch dataset (`torch.utils.data.Dataset`). Each item in the dataset is a dictionnary that contains 6 elements."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['input_fields',\n",
       " 'output_fields',\n",
       " 'constant_scalars',\n",
       " 'boundary_conditions',\n",
       " 'space_grid',\n",
       " 'input_time_grid',\n",
       " 'output_time_grid']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item = dataset[0]\n",
    "\n",
    "list(item.keys())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The most important elements are `input_fields` and `output_fields`. They represent the time-varying physical fields of the dynamical system and are generally the input and target of our models. For a dynamical system that has 2 spatial dimensions $x$ and $y$, `input_fields` would have a shape $(T_{in}, L_x, L_y, F)$ and `output_fields` would have a shape $(T_{out}, L_x, L_y, F)$. The number of input and output timesteps $T_{in}$ and $T_{out}$ are specified at the instantiation of the dataset with the arguments `n_steps_input` and `n_steps_output`. $L_x$ and $L_y$ are the lengths of the spatial dimensions. $F$ represents the number of physical fields, where vector fields $v = (v_x, v_y)$ and tensor fields $t = (t_{xx}, t_{xy}, t_{yx}, t_{yy})$ are flattened."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([4, 128, 384, 4])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item[\"input_fields\"].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 128, 384, 4])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item[\"output_fields\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One can access the names of the fields in `dataset.metadata.field_names`. The names are organized by the fields' tensor-order. In this dataset, the momentum is a vector field (first-order tensor)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{0: ['density', 'pressure'], 1: ['velocity_x', 'velocity_y'], 2: []}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.metadata.field_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['density', 'pressure', 'velocity_x', 'velocity_y']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "field_names = [\n",
    "    name for group in dataset.metadata.field_names.values() for name in group\n",
    "]\n",
    "field_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In an item, the input and output form a time-contiguous window in the trajectories. The total number of available windows in the dataset depends on the number of files, trajectories per file and timesteps per trajectory."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6984\n"
     ]
    }
   ],
   "source": [
    "window_size = dataset.n_steps_input + dataset.n_steps_output\n",
    "\n",
    "total_windows = 0\n",
    "for i in range(dataset.metadata.n_files):\n",
    "    windows_per_trajectory = (\n",
    "        dataset.metadata.n_steps_per_trajectory[i] - window_size + 1\n",
    "    )\n",
    "    total_windows += (\n",
    "        windows_per_trajectory * dataset.metadata.n_trajectories_per_file[i]\n",
    "    )\n",
    "\n",
    "print(total_windows)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Conveniently, this corresponds to the length of the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6984"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(dataset)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize the data\n",
    "\n",
    "The easiest way to visualize the data is to plot the fields separately. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "F = dataset.metadata.n_fields"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 960x480 with 16 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = dataset[42][\"input_fields\"]\n",
    "x = rearrange(x, \"T Lx Ly F -> F T Lx Ly\")\n",
    "\n",
    "fig, axs = plt.subplots(F, 4, figsize=(4 * 2.4, F * 1.2))\n",
    "\n",
    "for field in range(F):\n",
    "    vmin = np.nanmin(x[field])\n",
    "    vmax = np.nanmax(x[field])\n",
    "\n",
    "    axs[field, 0].set_ylabel(f\"{field_names[field]}\")\n",
    "\n",
    "    for t in range(4):\n",
    "        axs[field, t].imshow(\n",
    "            x[field, t], cmap=\"RdBu_r\", interpolation=\"none\", vmin=vmin, vmax=vmax\n",
    "        )\n",
    "        axs[field, t].set_xticks([])\n",
    "        axs[field, t].set_yticks([])\n",
    "\n",
    "        axs[0, t].set_title(f\"$x_{t}$\")\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing\n",
    "\n",
    "In most datasets of The Well, some quantities are always positive and/or vary greatly in magnitude. These quantities should be preprocessed before being passed to a neural network. In this notebook, we standardize the fields with respect to their mean and standard deviation over a subset of the training set. Alternatively one could set `use_normalization=True` when instantiating the dataset, which would standardize the fields with respect to their mean and standard deviation over the entire training set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "xs = []\n",
    "\n",
    "for i in range(0, 1000, 100):\n",
    "    x = dataset[i][\"input_fields\"]\n",
    "    xs.append(x)\n",
    "\n",
    "xs = torch.stack(xs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "mu = xs.reshape(-1, F).mean(dim=0).to(device)\n",
    "sigma = xs.reshape(-1, F).std(dim=0).to(device)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(x):\n",
    "    return (x - mu) / sigma\n",
    "\n",
    "\n",
    "def postprocess(x):\n",
    "    return sigma * x + mu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Training\n",
    "\n",
    "We train a small Fourier Neural Operator (FNO) to predict the $T_{out} = 1$ next states given the $T_{in} = 4$ previous states. We concatenate the input steps along their channels, such that the model expects $T_{in} \\times F$ channels as input and $T_{out} \\times F$ channels as output. Because `WellDataset` is a PyTorch dataset, we can use it conveniently with PyTorch data-loaders."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "model = FNO(\n",
    "    n_modes=(16, 16),\n",
    "    in_channels=4 * F,\n",
    "    out_channels=1 * F,\n",
    "    hidden_channels=128,\n",
    "    n_layers=5,\n",
    ").to(device)\n",
    "\n",
    "optimizer = torch.optim.Adam(model.parameters(), lr=5e-3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 1746/1746 [01:18<00:00, 22.23it/s, loss=0.335] \n"
     ]
    }
   ],
   "source": [
    "train_loader = torch.utils.data.DataLoader(\n",
    "    dataset=dataset,\n",
    "    shuffle=True,\n",
    "    batch_size=4,\n",
    "    num_workers=4,\n",
    ")\n",
    "\n",
    "for epoch in range(1):\n",
    "    for batch in (bar := tqdm(train_loader)):\n",
    "        x = batch[\"input_fields\"]\n",
    "        x = x.to(device)\n",
    "        x = preprocess(x)\n",
    "        x = rearrange(x, \"B Ti Lx Ly F -> B (Ti F) Lx Ly\")\n",
    "\n",
    "        y = batch[\"output_fields\"]\n",
    "        y = y.to(device)\n",
    "        y = preprocess(y)\n",
    "        y = rearrange(y, \"B To Lx Ly F -> B (To F) Lx Ly\")\n",
    "\n",
    "        fx = model(x)\n",
    "\n",
    "        mse = (fx - y).square().mean()\n",
    "        mse.backward()\n",
    "\n",
    "        optimizer.step()\n",
    "        optimizer.zero_grad()\n",
    "\n",
    "        bar.set_postfix(loss=mse.detach().item())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evaluation\n",
    "\n",
    "Now that our model is trained, we can use it to make predictions. We evaluate the prediction with the variance-scaled root mean squared error (VRMSE) per field. In the manuscript, we report the VRMSE averaged over all fields."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "validset = WellDataset(\n",
    "    well_base_path=base_path,\n",
    "    well_dataset_name=\"turbulent_radiative_layer_2D\",\n",
    "    well_split_name=\"valid\",\n",
    "    n_steps_input=4,\n",
    "    n_steps_output=1,\n",
    "    use_normalization=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[0.2311, 1.2917, 0.5378, 0.5457]], device='cuda:0')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "item = validset[123]\n",
    "\n",
    "x = item[\"input_fields\"]\n",
    "x = x.to(device)\n",
    "x = preprocess(x)\n",
    "x = rearrange(x, \"Ti Lx Ly F -> 1 (Ti F) Lx Ly\")\n",
    "\n",
    "y = item[\"output_fields\"]\n",
    "y = y.to(device)\n",
    "\n",
    "with torch.no_grad():\n",
    "    fx = model(x)\n",
    "    fx = rearrange(fx, \"1 (To F) Lx Ly -> To Lx Ly F\", F=F)\n",
    "    fx = postprocess(fx)\n",
    "\n",
    "VRMSE.eval(fx, y, meta=validset.metadata)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "the_well",
   "language": "python",
   "name": "the_well"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
